B

Blip2 Image To Text

Developed by paragon-AI
BLIP-2 is a vision-language pre-trained model that achieves language-image pre-training guidance by freezing the image encoder and large language model.
Downloads 343
Release Time : 6/24/2023

Model Overview

BLIP-2 consists of an image encoder, a query transformer, and a large language model, which can be used for image caption generation, visual question answering, and chat-like dialogues.

Model Features

Freeze pre-trained models
Keep the image encoder and language model frozen and only train the query transformer to improve training efficiency
Multimodal capabilities
Bridge the visual and language modalities to achieve image-to-text conversion
Flexible application
Support various vision-language tasks, such as image captioning, VQA, and dialogue

Model Capabilities

Image caption generation
Visual question answering
Multimodal dialogue
Image understanding

Use Cases

Content generation
Automatic image annotation
Generate descriptive text for images
Intelligent interaction
Visual question answering system
Answer natural language questions about image content
Multimodal chatbot
Conduct dialogues based on images and text history
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase